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Multi-Leader Particle Swarm Optimization for Optimal Planning of Distributed Generation

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dc.citedby2
dc.contributor.authorKarunarathne E.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorEkanayake J.en_US
dc.contributor.authorAlmeida D.en_US
dc.contributor.authorid57216633155en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid7003409510en_US
dc.contributor.authorid57211718103en_US
dc.date.accessioned2023-05-29T08:07:31Z
dc.date.available2023-05-29T08:07:31Z
dc.date.issued2020
dc.description.abstractIn today's world, Distributed Generation (DG) has become an outstanding solution to cater to power system challenges caused due to the exponential growth of load demand. Many researchers have used various optimization techniques for the optimal planning of location and the size of the DGs. However, premature convergence, precision of the output and complexity are few major drawbacks of these optimization techniques. In this paper, Multi-Leader Particle Swarm Optimization (MLPSO) is utilized to determine the optimal locations and sizes of DGs with the intention of active power loss minimization. Thus, the primary drawback of premature convergence in existing optimization techniques is suppressed. A comprehensive performance analysis is carried out on IEEE 33 bus system. The findings reveal a 67.40% reduction of loss by integrating three DGs with unity power factor. The comparison of the results with other optimization techniques has demonstrated the effectiveness of MLPSO Algorithm. � 2020 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9250957
dc.identifier.doi10.1109/SCOReD50371.2020.9250957
dc.identifier.epage101
dc.identifier.scopus2-s2.0-85097735749
dc.identifier.spage96
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097735749&doi=10.1109%2fSCOReD50371.2020.9250957&partnerID=40&md5=0cf11c45a16008c88551b31161c52d6c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25238
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2020 IEEE Student Conference on Research and Development, SCOReD 2020
dc.titleMulti-Leader Particle Swarm Optimization for Optimal Planning of Distributed Generationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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